Wannigama Dhammika Leshan, Hurst Cameron, Monk Peter N, Hartel Gunter, Ditcham William Graham Fox, Hongsing Parichart, Phattharapornjaroen Phatthranit, Ounjai Puey, Torvorapanit Pattama, Jutivorakool Kamonwan, Luk-In Sirirat, Nilgate Sumanee, Rirerm Ubolrat, Tanasatitchai Chanikan, Miyanaga Kazuhiko, Cui Longzhu, Ragupathi Naveen Kumar Devanga, Rad S M Ali Hosseini, Khatib Aisha, Storer Robin James, Ishikawa Hitoshi, Amarasiri Mohan, Charuluxananan Somrat, Leelahavanichkul Asada, Kanjanabuch Talerngsak, Higgins Paul G, Davies Jane C, Stick Stephen M, Kicic Anthony, Chatsuwan Tanittha, Shibuya Kenji, Abe Shuichi
Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Department of Microbiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama 4 Road, Bangkok, Pathumwan, Thailand.
BMC Med. 2025 Mar 31;23(1):191. doi: 10.1186/s12916-025-04009-x.
Pseudomonas aeruginosa infections in the lungs affect millions of children and adults worldwide. To our knowledge, no clinically validated prognostic biomarkers for chronic pulmonary P. aeruginosa infections exist. Therefore, this study aims to identify potential prognostic markers for chronic P. aeruginosa biofilm lung infections.
Here, we screened the expression of 11 P. aeruginosa regulatory genes (tesG, algD, lasR, lasA, lasB, pelB, phzF, rhlA, rsmY, rsmZ, and sagS) to identify associations between clinical status and chronic biofilm infection.
RNA was extracted from 210 sputum samples from patients (n = 70) with chronic P. aeruginosa lung infections (mean age; 29.3-56.2 years; 33 female). Strong biofilm formation was correlated with prolonged hospital stays (212.2 days vs. 44.4 days) and increased mortality (46.2% (18)). Strong biofilm formation is associated with increased tesG expression (P = 0.001), influencing extended intensive care unit (P = 0.002) or hospitalisation stays (P = 0.001), pneumonia risk (P = 0.006), and mortality (P = 0.001). Notably, tesG expression is linked to the modulation of systemic and sputum inflammatory responses and predicts biofilm biomass.
This study provides the first clinical dataset of tesG expression levels as a predictive biomarker for chronic P. aeruginosa pulmonary infections.
肺部铜绿假单胞菌感染影响着全球数百万儿童和成人。据我们所知,目前尚无经临床验证的慢性肺部铜绿假单胞菌感染的预后生物标志物。因此,本研究旨在确定慢性铜绿假单胞菌生物被膜肺部感染的潜在预后标志物。
在此,我们筛选了11个铜绿假单胞菌调控基因(tesG、algD、lasR、lasA、lasB、pelB、phzF、rhlA、rsmY、rsmZ和sagS)的表达,以确定临床状态与慢性生物被膜感染之间的关联。
从70例慢性铜绿假单胞菌肺部感染患者(平均年龄29.3 - 56.2岁;33名女性)的210份痰液样本中提取RNA。强烈的生物被膜形成与住院时间延长(212.2天对44.4天)和死亡率增加(46.2%(18例))相关。强烈的生物被膜形成与tesG表达增加有关(P = 0.001),影响延长的重症监护病房住院时间(P = 0.002)或住院时间(P = 0.001)、肺炎风险(P = 0.006)和死亡率(P = 0.001)。值得注意的是,tesG表达与全身和痰液炎症反应的调节有关,并可预测生物被膜生物量。
本研究提供了首个tesG表达水平作为慢性铜绿假单胞菌肺部感染预测生物标志物的临床数据集。